Why Take Seattle Data Engineering Courses with Web Age?
Our Seattle Data engineering training courses will teach you to organize, analyze and interpret your many sources of big data and information.
The data engineering courses we offer in Seattle are comprehensive and provide your teams the skills they need to discover insights required for analyzing and tackling critical factors such as risk, performance, quality, forecasting, estimating, simulation, business process improvement, and much more.
Get the Data Engineering Courses you need to stay ahead with our expert-led Data Engineer Training courses in Seattle.
Data Engineer Courses
Data Engineer Training Courses
Data Literacy and Tools Overview Training
Cloud Data Engineering with NiFi on AWS or GCP Training
Data Science and Data Engineering for Architects Training
API Management Fundamentals for Architects Training
Workflow Management with Apache Airflow Training
Written in Python, Airflow enables …
The Top 10 Essential Data Engineer Skills for 2022
In 2022 the number of jobs in the Data Science domain are continuing to rise and Data Engineering Skills are taking precedence.
So if you want to know what data engineer skills are required and make sense for a data engineer in 2022, then you’re in the right place.
How to Build Your Data Science Team
Data engineers utilize the various stages in a pipeline from acquisition and transport, to storage, processing and servicing continually improving their methods and practices. Today’s Data Engineer must become proficient at programming, learn automation and scripting, understand may different data stores, master data processing techniques, efficiently schedule workflows, know the ever changing cloud landscape, and keep up with trends.
This data engineer training video will delve into today’s best tools and techniques that great data scientists utilize to efficiently and effectively understand outcomes from their datasets, and capture, transform and shape their data stores.
Proven Results in Data Engineering Training
For over 20 years, we have trained thousands of developers at some of the country’s largest tech companies – including many Fortune 500 companies. We’re proudly distinguished by these clients, partners and awards.
This was a great course. I loved the blend of Python Concepts Plus Just enough Data science to be productive
Instructor was very thorough, yet practical. He was a great communicator and explained everything in layman’s terms.
Great tutorials! I will go back to these
This course is excellent. It gave me an overview of data science and a good understanding. It put me in the right direction of data analysis in my work.
Looking for Data Engineering Training in Seattle?
Here’s some insight to get you started!
Seattle and surrounding suburbs and satellites is home to over half of Washington’s population. The largest metropolis of the Pacific Northwest, and one of the largest and most affluent urban centers in the United States. A major port of entry, and an air and sea gateway to Asia and Alaska, this gem of the Pacific Northwest is surrounded by great natural beauty. Seattle maintains a high level of social and public services, excellent schools, and abundant parks and greenbelts, which have bestowed upon it “the Emerald City.” It is consistently rated as one of North America’s most livable cities.
Linked by road, rail, ship, and air to global distribution networks, the city has grown to take on international economic importance, a development that owes much to Seattle’s role as one of the world’s leading centers for the manufacture of high technology, and for Internet-based commerce. Seattle is also a leading center of multimedia production – uniting technology, music, and the visual arts.
Get started with Web Age Data Engineering training in Seattle today!
Frequently Asked Questions
What is a Data Engineer?
A data engineer conceives, builds and maintains the data infrastructure that holds your enterprise’s advanced analytics capacities together.
A data engineer is responsible for building and maintaining the data architecture of a data science project. Data Engineers are responsible for the creation and maintenance of analytics infrastructure that enables almost every other function in the data world. They are responsible for the development, construction, maintenance and testing of architectures, such as databases and large-scale processing systems. As part of this, Data Engineers are also responsible for the creation of data set processes used in modeling, mining, acquisition, and verification.
What is Data Engineering
Data engineering is a software engineering practice with a focus on design, development, and productionizing of data processing systems. Data processing includes all the practical aspects of data handling, including:Data acquisition, transfer, transformation, and storage on-prem or in the cloud. In many cases, data can be categorized as Big Data.
Gartner’s Definition of Big Data
Gartner’s analyst Doug Laney defined three dimensions to data growth challenges: increasing volume (amount of data), velocity (speed of data in and out), and variety (range of data types and sources).
In 2012, Gartner updated its definition as follows: “Big data are high volume, high velocity, and/or high variety information assets that require new forms of processing to enable enhanced decision making, insight discovery and process optimization.”
Data sizes accumulated in many organizations come to hundreds of terabytes, approaching the petabyte levels.
Big Data comes in different formats as well as unformatted (unstructured) and various types like text, audio, voice, VoIP, images, video, e-mails, web traffic log files entries, sensor byte streams, etc.
High traffic on-line banking web site can generate hundreds of TPS (transactions per second) each of which may be required to be subjected to fraud detection analysis in real or near-real time.
What are the core Data Engineering skills?
- Introduction to Data Engineering (Related Course: Data Engineering Training for Managers)
- Basic Language Requirement: Python (Related Course: Introduction to Python Programming)
- Solid Knowledge of Operating Systems (Related Courses: Unix Training)
- Heavy, In-Depth Database Knowledge – SQL and NoSQL (Related Courses: NoSQL Training and Courseware)
- Data Warehousing – Hadoop, MapReduce, HIVE, PIG, Apache Spark, Kafka (Related Courses: Big Data Training)
- Basic Machine Learning Familiarity (Related Courses: AI and Machine Learning Training)
Web Age Solutions has been offering a wide selection of state-of-the-art IT classes in Seattle for almost 20 years.
You can browse through all of our available courses, view class outlines, and check availability on our website.
If you’d like to discuss personalized training options or have questions about Date Engineering Training in Seattle
please call our team at (877) 517-6540.
Contact us to see how we can provide onsite customized training in Seattle for your team.